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the generation of statistically distributed microporosity for specific components What you bring to the table You are a student of industrial engineering, mechanical engineering or a comparable engineering degree
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on the Part Scale. The project is jointly supervised by Prof. Dr. Ralf Jänicke (Institute of Applied Mechanics, Technische Universität Braunschweig) and PD Dr. Stefan Kollmannsberger (Chair of Computational
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-free design for distributed MIMO systems Integrated sensing and communication (ISAC) Non-terrestrial networks (NTN) Support of IoT devices across generations including IIoT and A-IoT The scientific work
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-free design for distributed MIMO systems Integrated sensing and communication (ISAC) Ubiquitos coverage integrating terrestrial networks (TN) and non-terrestrial networks (NTN) Support of IoT devices
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Master-Thesis: Machine Learning-based Heating Curves for Heat Producers in District Heating Networks
address the challenges posed by global warming. In this context, district heating networks (DHNs) play a major role since they can realize fully decarbonized heat supply utilizing various distributed heat
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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socially just energy supply system based on renewable energies. We contribute to this with our research focus on energy supply, energy distribution, energy storage and energy use. Through outstanding
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, safe and socially just energy supply system based on renewable energies. We contribute to this with our research priorities of energy supply, energy distribution, energy storage and energy use. We
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fair energy supply system based on renewable energies. We contribute to this with our research priorities of energy supply, energy distribution, energy storage and energy use. Through outstanding
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School of Engineering and Design and maintain strong links with the computer science community. One of our key research areas is the design and operation of intelligent networked production systems